python数据可视化pygal模拟掷骰子实现示例
目录
- 可视化包Pygal生成可缩放矢量图形文件
- 分析结果,计算每个点数出现的次数
- 绘制直方图
- 同时投掷两个骰子
- 同时投掷两个面数不同骰子
可视化包Pygal生成可缩放矢量图形文件 可以在尺寸不同的屏幕上自动缩放,显示图表
#安装pygalpip install pygal'''想要了解Pygal可生成什么样的图表,可访问http://www.pygal.org/单击document,点击chart types,每个示例都包含源代码'''from random import randint#创建一个骰子的类class Die():def __init__(self,num_sides = 6):self.num_sides = num_sidesdef roll(self):#返回一个位于1和骰子面数之间的随机值return randint(1, self.num_sides)#掷骰子die = Die()#创建一个列表,将结果存储在一个列表中results = [] #投100次for roll_num in range(100):result = die.roll()results.append(result)print(results)[3, 4, 2, 2, 6, 5, 5, 5, 2, 3, 1, 4, 3, 2, 1, 2, 3, 6, 6, 5, 5, 3, 2, 3, 1, 1, 4, 1, 4, 6, 1, 6, 2, 3, 4, 6, 2, 5, 5, 1, 6, 1, 5, 4, 3, 3, 4, 5, 6, 3, 5, 1, 4, 3, 5, 6, 6, 6, 4, 6, 5, 6, 5, 4, 6, 3, 1, 4, 1, 4, 2, 1, 1, 4, 4, 4, 2, 3, 1, 4, 6, 2, 1, 5, 6, 2, 2, 6, 6, 3, 6, 2, 6, 6, 4, 4, 2, 1, 1, 6]
分析结果,计算每个点数出现的次数
frequencies = []for value in range(1, die.num_sides+1):frequency = results.count(value)frequencies.append(frequency)print(frequencies)[10, 23, 13, 9, 26, 19]
绘制直方图
import pygalhist = pygal.Bar()hist.title = 'results of rolling one d6 100 times'hist.x_lables = ['1', '2', '3', '4', '5', '6']hist.x_title = 'result'hist.y_title = 'frequency of result'hist.add('d6', frequencies)#将图渲染为SVG文件,需要打开浏览器,才能查看生成的直方图hist.render_to_file('die_visual.svg')
文章图片
同时投掷两个骰子
from random import randint#创建一个骰子的类class Die():def __init__(self,num_sides = 6):self.num_sides = num_sidesdef roll(self):#返回一个位于1和骰子面数之间的随机值return randint(1, self.num_sides)#掷骰子die1 = Die()die2 = Die()#创建一个列表,将结果存储在一个列表中results = [] #投100次for roll_num in range(100):result = die1.roll() + die2.roll()results.append(result)print(results)#分析结果,计算每个点数出现的次数frequencies = []max_result = die1.num_sides + die2.num_sidesfor value in range(1, max_result+1):frequency = results.count(value)frequencies.append(frequency)print(frequencies)#绘制直方图import pygalhist = pygal.Bar()hist.title = 'results of rolling one d6 dice 100 times'hist.x_lables = ['2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12']hist.x_title = 'result'hist.y_title = 'frequency of result'hist.add('d6 + d6', frequencies)#将图渲染为SVG文件,需要打开浏览器,才能查看生成的直方图hist.render_to_file('die_visual.svg')[4, 7, 4, 5, 8, 4, 3, 6, 8, 9, 8, 11, 9, 11, 8, 8, 5, 6, 10, 5, 11, 7, 4, 3, 12, 12, 7, 2, 4, 9, 9, 5, 7, 10, 4, 7, 4, 6, 5, 6, 7, 2, 7, 9, 7, 6, 11, 5, 9, 6, 11, 4, 8, 10, 7, 9, 5, 4, 3, 7, 4, 10, 5, 7, 2, 6, 4, 2, 2, 5, 5, 9, 6, 3, 6, 10, 12, 7, 4, 11, 8, 6, 10, 5, 7, 5, 5, 7, 9, 4, 11, 6, 7, 8, 6, 11, 6, 4, 3, 12][0, 5, 5, 14, 13, 13, 15, 8, 9, 6, 8, 4]
文章图片
同时投掷两个面数不同骰子
from random import randint#创建一个骰子的类class Die():def __init__(self,num_sides = 6):self.num_sides = num_sidesdef roll(self):#返回一个位于1和骰子面数之间的随机值return randint(1, self.num_sides)#掷骰子die1 = Die()die2 = Die(10)#创建一个列表,将结果存储在一个列表中results = [] #投100次for roll_num in range(100):result = die1.roll() + die2.roll()results.append(result)print(results)#分析结果,计算每个点数出现的次数frequencies = []max_result = die1.num_sides + die2.num_sidesfor value in range(1, max_result+1):frequency = results.count(value)frequencies.append(frequency)print(frequencies)#绘制直方图import pygalhist = pygal.Bar()hist.title = 'results of rolling one d10 dice 100 times'hist.x_lables = ['2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14','15','16']hist.x_title = 'result'hist.y_title = 'frequency of result'hist.add('d6 + d10', frequencies)#将图渲染为SVG文件,需要打开浏览器,才能查看生成的直方图hist.render_to_file('die_visual.svg')[5, 3, 6, 13, 8, 9, 10, 11, 11, 4, 5, 14, 11, 10, 11, 8, 14, 12, 16, 8, 9, 11, 7, 11, 9, 2, 8, 9, 9, 10, 7, 8, 12, 11, 8, 12, 9, 9, 10, 11, 8, 14, 10, 12, 10, 7, 12, 5, 4, 8, 6, 7, 7, 11, 9, 16, 6, 13, 6, 10, 6, 7, 16, 9, 14, 5, 7, 12, 8, 9, 11, 11, 6, 11, 5, 8, 11, 16, 4, 10, 5, 10, 13, 4, 9, 9, 11, 9, 11, 13, 7, 13, 13, 5, 5, 4, 5, 3, 12, 14][0, 1, 2, 5, 9, 6, 8, 10, 13, 9, 15, 7, 6, 5, 0, 4]
文章图片
【python数据可视化pygal模拟掷骰子实现示例】以上就是python数据可视化pygal模拟掷骰子实现示例的详细内容,更多关于python pygal模拟掷骰子的资料请关注脚本之家其它相关文章!
推荐阅读
- python数据可视化绘制火山图示例
- ES业务数据迁移遇到的精度问题BUG
- python数据可视化绘制世界人口地图
- 组件通讯的方式有哪些
- python|python 如何安装cv2库
- SpringBoot整合Druid数据源的方法实现
- C语言数据结构深入探索顺序表
- 数据结构|树的概念及其应用(Python)
- Python 中几种属性访问的区别
- Python 之父新发文,将替换现有解析器